Mohamed Sammouda

Publication Activity (10 Years)

Years Active: 1999-2005
Publications (10 Years): 0

Publications

Rachid Sammouda, Mohamed Sammouda, Jamal Abu Hassan
Accurate Extraction Algorithm of Lung Regions from Chest 3D CT-Images. EuroIMSA (2005)
Rachid Sammouda, Jamal Abu Hassan, Mohamed Sammouda, Hatem abou ElAbbas, Abdulridha Al-Zuhairy
Comparison of a Genetic Algorithm & Hopfield Neural Network In Segmening Lung Regions In Chest CT Images. iiWAS (2005)
Rachid Sammouda, Mohamed Sammouda
Modification of the mean-square error principle to double the convergence speed of a special case of Hopfield neural network used to segment pathological liver color images. BMC Medical Informatics Decis. Mak. 4 (2004)
Mohamed Sammouda, Mohamed Benaïchouche, Rachid Sammouda, Noboru Niki
Tissue Color Images Segemntation Using Artificial Neural Networks. ISBI (2004)
Rachid Sammouda, Mohamed Sammouda
Improving the performance of Hopfield Neural Network to segment pathological liver color images. CARS (2003)
Mohamed Sammouda, Rachid Sammouda, Noboru Niki, Kiyoshi Mukai
Liver cancer detection system based on the analysis of digitized color images of tissue samples obtained using needle biopsy. Inf. Vis. 1 (2) (2002)
Mohamed Sammouda, Rachid Sammouda, Noboru Niki, Naohito Yamaguchi, Noriyuki Moriyama
Cancerous nuclei detection on digitized pathological lung color images. J. Biomed. Informatics 35 (2) (2002)
Mohamed Sammouda, Noboru Niki, Toshiro Niki, Naohito Yamaguchi
Tissue color image segmentation and analysis for automated diagnostics of adenocarcinoma of the lung. Medical Imaging: Image Processing (2001)
Mohamed Sammouda, Rachid Sammouda, Noboru Niki, Kiyoshi Mukai
Diagnosis of liver cancer based on the analysis of pathological liver color images. Medical Imaging: Image Processing (2000)
Mohamed Sammouda, Noboru Niki, Toshirou Niki, Naohito Yamaguchi
Analysis of Color Images of Tissues Derived from Patients with Adenocarcinoma of the Lung. ICIP (2000)
Mohamed Sammouda, Rachid Sammouda, Noboru Niki, Kiyoshi Mukai
Segmentation and Analysis of Liver Cancer Pathological Color Images Based on Artificial Neural Networks. ICIP (3) (1999)